this paper presents the design and simulation of a typical ka band satellite beacon receiver for propagation experimentation. using satellite beacon signal as a reference signal in satellite wave propagation study, is one of the most important methods. satellite beacons are frequently available for pointing large antennas, but such signals can be used for measuring the effect of natural phenome...

In our study, a retrieval method of temperature profiles is proposed which combines an improved one-dimensional variational algorithm (1D-Var) and artificial neural network (ANN), using FY-4A/GIIRS (Geosynchronous Interferometric Infrared Sounder) infrared hyperspectral data. First, according to the characteristics observation data conventional 1D-Var, we introduced channel blacklists discarded...

The application of numerical models to understand the behavioural pattern a flood is widely found in literature. However, selection an appropriate hydraulic model highly essential conduct reliable predictions. Predicting discharges and inundation extents are two most important outcomes simulations stakeholders. Precise topographical data channel geometries along suitable required accurately pre...

a r t i c l e i n f o a b s t r a c t Keywords: glacial rebound mantle rheology viscosity time-variable gravity GRACE Antarctica Seismic data indicate that there are large viscosity variations in the mantle beneath Antarctica. Consideration of such variations would affect predictions of models of Glacial Isostatic Adjustment (GIA), which are used to correct satellite measurements of ice mass ch...

This paper presents new results for 1D BGK electron solitary wave (phase-space electron hole) solutions and, based on the new results, extends the solutions to include the 3D electrical interaction (E ∼ 1/r2) of charged particles. Our approach for extending to 3D is to solve the nonlinear 3D Poisson and 1D Vlasov equations based on a key feature of 1D electron hole (EH) solutions; the positive ...

This paper presents multispectral texture analysis for classification based on a generalized cooccurrence matrix. Statistical and texture features have been obtained from the first order probability distribution and generalized cooccurrence matrix. The features along with the gray value of the selected pixels are fed into the neural network. Frist, Self Organizing Map (SOM) that is an unsupervi...

Abstract. This contribution presents a novel multi-dimensional (multi-D) hydraulic–hydrological numerical model with variational data assimilation capabilities. It allows multi-scale modeling over large domains, combining in situ observations high-resolution hydrometeorology and satellite data. The multi-D hydraulic relies on the 2D shallow-water equations solved 1D–2D adapted single finite-vol...